airalcorn2/Recurrent-Convolutional-Neural-Network-Text-Classifier
My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.
PythonMIT
Issues
- 1
About the performance
#23 opened by SitongZhou - 1
Question about equal(1) and equal(2)
#22 opened by Jingyilang - 1
Getting error while running word2vec.gensi
#21 opened by abhi5485 - 1
Where is the Convolutional layer？
#20 opened by CXX1113 - 1
Performance on diffirent card.
#19 opened by GaryHaHaHa - 4
does your code also support label data?
#18 opened by GaryHaHaHa - 0
I have one question. When you get context right, you reverse the input sequences, but you don't reverse the output sequences. I think the output seqences should be reversed.Becaues the LSTM api just reverse the input! thanks!
#17 opened by JepsonWong - 4
- 1
Which part represents the Convolutional layer？
#16 opened by fuhailin - 4
TypeError: Expected int32, got list containing Tensors of type '_Message' instead
#6 opened by lixinsu - 0
- 1
whis is the file named 'word2vec.gensim'?
#14 opened by Irvinglove - 6
different embedding must be used.
#13 opened by bicepjai - 1
model performance
#12 opened by jhoh10 - 1
Train data
#11 opened by yangshanliang - 1
gensim.models.Word2Vec.load("word2vec.gensim")
#10 opened by GYBTA - 1
training with multiple documents at once
#9 opened by jhoh10 - 1
- 6
something confuse about input
#7 opened by MRuAyAN - 1
- 0
- 2
input format
#1 opened by trojandodo